3D Style Transfer. Kato et al. [1]} propose a soft surrogate for rasterization so that the rendering of meshes is turned into a differentiable operator. They also demonstrate the application of 3D style transfer with 2D input guidance. Other differentiable renering formulations like OpenDR [2]}, Soft Rasterizer [3]} and DIB-Renderer [4]} also support 3D style transfer in a similar scheme. 3DStyleNet [5]} formulates a feed-forward network trained with content and style losses imposed on differentiable renderings. Patch-based methods are also used to stylize 3D models [6]}[7]}. 3D style transfer on point clouds [8]} has also been demonstrated. StyleMesh [9]} formulates a 3D mesh style transfer algorithm using depth and normal statistics. To the best our knowledge, LASST is the first algorithm that achieve visually pleasing 3D semantic style transfer using language guidance.
